Yukihiro Umeda1, Yoshiki Demura2, Miwa Morikawa3, Masaki Anzai3, Maiko Kadowaki3, Shingo Ameshima3, Tatsuro Tsuchida4, Tetsuya Tsujikawa5, Yasushi Kiyono5, Hidehiko Okazawa5, Takeshi Ishizaki6, Tamotsu Ishizuka3. 1. Third Department of Internal Medicine, University of Fukui, Yoshida-gun, Fukui, Japan umeda@u-fukui.ac.jp. 2. Department of Respiratory Medicine, Fukui Red Cross Hospital, Fukui-shi, Fukui, Japan. 3. Third Department of Internal Medicine, University of Fukui, Yoshida-gun, Fukui, Japan. 4. Department of Radiology, University of Fukui, Yoshida-gun, Fukui, Japan. 5. Biomedical Imaging Research Center, University of Fukui, Yoshida-gun, Fukui, Japan; and. 6. Respiratory Diseases Center of Northern Noto Area, Ishikawa Prefecture, Anamizu-cho, Ishikawa, Japan.
Abstract
UNLABELLED: The aim of this prospective study was to clarify whether dual-time-point (18)F-FDG PET imaging results are useful to predict long-term survival of idiopathic pulmonary fibrosis (IPF) patients. METHODS: Fifty IPF patients underwent (18)F-FDG PET examinations at 2 time points: 60 min (early imaging) and 180 min (delayed imaging) after (18)F-FDG injection. The standardized uptake value (SUV) at each point and retention index value (RI-SUV) calculated from those were evaluated, and then the results were compared with overall and progression-free survival. RESULTS: A multivariate Cox proportional hazards model showed higher RI-SUV and higher extent of fibrosis score as independent predictors of shorter progression-free survival. The median progression-free survival for patients with negative RI-SUV was better than that for those with positive RI-SUV (27.9 vs. 13.3 mo, P = 0.0002). On the other hand, multivariate Cox analysis showed higher RI-SUV and lower forced vital capacity to be independent predictors of shorter overall survival. The 5-y survival rate for patients with negative RI-SUV was better than that for those with positive RI-SUV (76.8% vs. 14.3%, P = 0.00001). In addition, a univariate Cox model showed that positive RI-SUV as a binary variable was a significant indicator of mortality (hazard ratio, 7.31; 95% confidence interval, 2.64-20.3; P = 0.0001). CONCLUSION: Our results demonstrate that positive RI-SUV is strongly predictive of earlier deterioration of pulmonary function and higher mortality in patients with IPF.
UNLABELLED: The aim of this prospective study was to clarify whether dual-time-point (18)F-FDG PET imaging results are useful to predict long-term survival of idiopathic pulmonary fibrosis (IPF) patients. METHODS: Fifty IPFpatients underwent (18)F-FDG PET examinations at 2 time points: 60 min (early imaging) and 180 min (delayed imaging) after (18)F-FDG injection. The standardized uptake value (SUV) at each point and retention index value (RI-SUV) calculated from those were evaluated, and then the results were compared with overall and progression-free survival. RESULTS: A multivariate Cox proportional hazards model showed higher RI-SUV and higher extent of fibrosis score as independent predictors of shorter progression-free survival. The median progression-free survival for patients with negative RI-SUV was better than that for those with positive RI-SUV (27.9 vs. 13.3 mo, P = 0.0002). On the other hand, multivariate Cox analysis showed higher RI-SUV and lower forced vital capacity to be independent predictors of shorter overall survival. The 5-y survival rate for patients with negative RI-SUV was better than that for those with positive RI-SUV (76.8% vs. 14.3%, P = 0.00001). In addition, a univariate Cox model showed that positive RI-SUV as a binary variable was a significant indicator of mortality (hazard ratio, 7.31; 95% confidence interval, 2.64-20.3; P = 0.0001). CONCLUSION: Our results demonstrate that positive RI-SUV is strongly predictive of earlier deterioration of pulmonary function and higher mortality in patients with IPF.
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Authors: Aurélien Justet; Astrid Laurent-Bellue; Gabriel Thabut; Arnaud Dieudonné; Marie-Pierre Debray; Raphael Borie; Michel Aubier; Rachida Lebtahi; Bruno Crestani Journal: Respir Res Date: 2017-04-27
Authors: Thida Win; Nicholas J Screaton; Joanna C Porter; Balaji Ganeshan; Toby M Maher; Francesco Fraioli; Raymondo Endozo; Robert I Shortman; Lynn Hurrell; Beverley F Holman; Kris Thielemans; Alaleh Rashidnasab; Brian F Hutton; Pauline T Lukey; Aiden Flynn; Peter J Ell; Ashley M Groves Journal: Eur J Nucl Med Mol Imaging Date: 2018-01-16 Impact factor: 9.236